selecting rows based on multiple column values in pandas dataframe

Question

I have a pandas DataFrame df:

import pandas as pd

data = {\"Name\": [\"AAAA\", \"BBBB\"],
        \"C1\": [25, 12],
              


        

Answer 1

I think below should do it, but its elegance is up for debate.

new_df = old_df[((old_df['C1'] > 0) & (old_df['C1'] < 20)) & ((old_df['C2'] > 0) & (old_df['C2'] < 20)) & ((old_df['C3'] > 0) & (old_df['C3'] < 20))]